Data Analysis Training in Transylvania

This instructor-led, live training in Transylvania (online or onsite) is aimed at intermediate-level Grafana users who wish to build interactive, drill-down dashboards with dynamic thresholds and contextual updates.

By the end of this training, participants will be able to:

• Create dashboards that respond to user interactions, such as clicking a graph bar
• Implement visual drill-downs that update in-place (without new tabs)
• Configure pie charts and detailed panels based on selection filters
• Use dynamic thresholds that react to user input and real-time data

This instructor-led, live training in Transylvania (online or onsite) is designed for intermediate-level data scientists and engineers who intend to utilize Google Colab and Apache Spark for big data processing and analytics.

By the end of this training, participants will be able to:

• Configure a big data environment using Google Colab and Spark.
• Process and analyze large datasets efficiently with Apache Spark.
• Visualize big data in a collaborative environment.
• Integrate Apache Spark with cloud-based tools.

This instructor-led, live training in Transylvania (online or onsite) is tailored for intermediate-level system administrators and monitoring professionals who aim to effectively use Grafana for setting up monitoring solutions, managing dashboards, and creating alerts.

By the end of this training, participants will be able to:

• Understand the distinction between observability and monitoring.
• Install and set up the Grafana server.
• Configure and connect various data sources such as Prometheus, InfluxDB, and ElasticSearch.
• Create, manage, and customize dashboards and charts.
• Use variables and queries to create dynamic dashboards.
• Set up notifications and alerts through Grafana.
• Install and manage plugins to extend Grafana’s functionality.

Stratio is a data-centric platform that combines big data, artificial intelligence, and governance into a unified solution. Its Rocket and Intelligence modules facilitate rapid data exploration, transformation, and advanced analytics within enterprise settings.

This instructor-led training session, available both online and on-site, is designed for data professionals at an intermediate level who aim to effectively utilize Stratio's Rocket and Intelligence modules with PySpark. The curriculum focuses on looping structures, user-defined functions, and complex data logic.

Upon completing this training, participants will be capable of:

• Navigating and operating within the Stratio platform using the Rocket and Intelligence modules.
• Applying PySpark for data ingestion, transformation, and analysis.
• Utilizing loops and conditional logic to manage data workflows and feature engineering tasks.
• Creating and managing user-defined functions (UDFs) to enable reusable data operations in PySpark.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

Data-informed decision-making involves weaving together pertinent data, evidence, and analytical insights to boost accountability and enhance outcomes within the public sector.

This guided, live training—available both online and on-site—is designed for public sector professionals who are new to or still developing their skills in leveraging data for decision-making. It targets those who design, assess, or oversee government initiatives and want to strengthen their capacity to interpret, validate, and apply data to tangible decisions.

Upon completion of this training, participants will be able to:

• Grasp the concept of being data-informed (as opposed to being purely data-driven or relying on intuition).
• Detect and evaluate data pertinent to specific policy or service environments.
• Formulate more effective questions for data analysts and interpret dashboards and reports with greater clarity.
• Leverage data to justify, refine, or defend decisions within public service settings.

Course Format

• Engaging lectures coupled with interactive discussions.
• Practical application using decision-making scenarios, datasets, and simulated policy briefs.
• Facilitated exercises centered on real-world decision-making use cases.

Customization Options

• To arrange customized training for this course tailored to your department’s specific workflows or internal tools, please reach out to us to coordinate.

This instructor-led, live training in Transylvania (online or on-site) is designed for intermediate-level data professionals who want to apply time series forecasting techniques to real-world data using Google Colab.

By the end of this training, participants will be able to:

• Understand the fundamentals of time series analysis.
• Use Google Colab to work with time series data.
• Apply ARIMA models to forecast data trends.
• Utilize Facebook’s Prophet library for flexible forecasting.
• Visualize time series data and forecasting results.

This instructor-led, live training in Transylvania (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to instrument their applications to export and monitor custom metrics effectively using Prometheus and Grafana.

By the end of this training, participants will be able to:

• Understand the importance of custom metrics for application monitoring.
• Instrument applications to export custom metrics for Prometheus.
• Create and configure dashboards in Grafana to visualize custom metrics.
• Apply best practices for integrating monitoring into the development lifecycle.

Digital Intelligence refers to the capability to comprehend and utilize digital tools, data, and systems to facilitate informed decision-making within public service delivery and governance contexts.

This instructor-led live training (available online or onsite) targets public sector professionals who have limited or developing experience in digital intelligence. It is designed for those working with data, digital tools, or service performance metrics who aim to enhance their skills in analyzing, interpreting, and applying information to improve decision-making.

Upon completion of this training, participants will be able to:

• Grasp the fundamentals of digital intelligence and its application to public sector work.
• Utilize digital tools to collect, visualize, and communicate actionable insights.
• Evaluate the digital maturity of their respective teams or departments.
• Develop a roadmap for enhancing digital capacity and data-driven practices.

Format of the Course

• Interactive lectures and discussions.
• Practical exercises using digital tools and dashboard mockups.
• Guided activities focused on real-world public service use cases.

Course Customization Options

• To request customized training for this course tailored to your department's workflows or internal tools, please contact us to arrange.

Data Storytelling involves employing visual and narrative methods to convert complex datasets into clear, compelling narratives that inform and inspire action.

This instructor-led live training (available online or onsite) is designed for public sector professionals who work with data but have limited or informal training in data storytelling. The course aims to enhance their ability to present data clearly and persuasively through narrative and visuals.

Upon completion of this training, participants will be able to:

• Transform raw data into impactful visual stories.
• Use chart selection and layout to support key messages.
• Structure data narratives that align with audience needs.
• Apply best practices for visual clarity and cognitive impact.

Course Format

• Interactive lecture and discussion.
• Hands-on use of storytelling techniques in data presentations.
• Guided exercises focused on clarity, visual flow, and audience impact.

Course Customization Options

• To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.

This instructor-led, live training in Transylvania (online or onsite) is aimed at advanced-level DevOps and SRE professionals who wish to enhance their alerting and automation skills with Grafana and Prometheus.

By the end of this training, participants will be able to:

• Create and manage advanced alerting rules in Prometheus.
• Integrate Prometheus Alertmanager with external tools using webhooks.
• Automate responses to alerts for faster issue resolution.
• Use Grafana to visualize and manage alerts effectively.

Participants who complete this instructor-led, live training in Transylvania will acquire a practical, real-world understanding of Big Data and its related technologies, methodologies and tools.

Participants will have the chance to apply this knowledge through practical, hands-on exercises. Collaborative group interaction and direct feedback from the instructor are integral parts of the learning experience.

The course begins by introducing fundamental Big Data concepts, then moves on to the programming languages and methods employed for Data Analysis. Finally, we explore the tools and infrastructure that support Big Data storage, Distributed Processing, and Scalability.

ArcGIS Professional Plus represents an advanced iteration of ArcGIS Pro, providing enhanced capabilities for geospatial data analysis, 3D modeling, automation, and enterprise collaboration.

This instructor-led live training, available online or onsite, is designed for intermediate-level GIS professionals aiming to deepen their expertise in spatial data analysis, automation, and sharing using ArcGIS Professional Plus tools.

Upon completion of this training, participants will be equipped to:

• Utilize ArcGIS Pro Plus tools effectively for data visualization and analysis.
• Design 2D and 3D maps employing advanced symbology and geoprocessing techniques.
• Automate workflows through ModelBuilder and Python scripting.
• Integrate ArcGIS with external data services and enterprise systems.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• For requests regarding customized training for this course, please contact us to make arrangements.

This instructor-led, live training in Transylvania (online or onsite) is aimed at beginner-level data engineers, analysts, and scientists who wish to understand how to use dbt Cloud to manage their data warehousing and transformation projects in the cloud.

By the end of this training, participants will be able to:

• Create and manage projects on dbt Cloud.
• Use the dbt Cloud interface to schedule and run data transformations.
• Collaborate on projects with team members.
• Deploy their dbt projects to production.
• Debug and troubleshoot dbt projects.

This instructor-led, live training in Transylvania (online or onsite) targets intermediate-level cloud and DevOps engineers seeking to enhance cloud observability using Grafana and Prometheus.

Upon completion of this training, participants will be able to:

• Understand the benefits of integrating Grafana and Prometheus with cloud platforms.
• Set up Prometheus for monitoring cloud-based resources.
• Configure Grafana for visualizing cloud service metrics.
• Leverage cloud-native tools and integrations for monitoring scalability.

This instructor-led, live training in Transylvania (online or onsite) is aimed at beginner-level to advanced-level GIS professionals and analysts who wish to learn how to effectively use ArcGIS for data visualization, spatial analysis, and geospatial project management.

By the end of this training, participants will be able to:

• Navigate and utilize ArcGIS tools for geospatial data management.
• Create and customize maps with layers and attributes.
• Perform advanced spatial analysis and geoprocessing tasks.
• Automate workflows using ModelBuilder and Python.

This instructor-led live training in Transylvania (online or onsite) targets intermediate-level DevOps and SRE professionals who aim to create impactful dashboards and optimize their monitoring practices using Grafana and Prometheus.

Upon completion of this training, participants will be equipped to:

• Apply best practices for designing effective dashboards.
• Create and configure advanced elements within Grafana dashboards.
• Utilize Grafana templating to build dynamic and reusable dashboards.
• Deploy alerting mechanisms to boost operational awareness.

This instructor-led, live training in Transylvania (online or onsite) is designed for advanced GIS professionals who want to use ArcGIS Pro to enhance their spatial analysis capabilities, perform comprehensive geostatistical analysis, and apply advanced 3D modeling techniques for better decision-making and problem-solving in real-world scenarios.

Upon completion of this training, participants will be able to:

• Master advanced spatial analysis techniques within ArcGIS Pro.
• Employ Python scripting to automate tasks and process complex data.
• Implement spatial modeling solutions for practical problem-solving.
• Execute geostatistical analysis to achieve advanced data interpretation.
• Integrate external data sources and utilize 3D spatial data analysis.

This instructor-led, live training in Transylvania (online or onsite) is designed for beginner to intermediate data analysts and business professionals who aim to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.

Upon completion of this training, participants will be able to:

• Grasp the core principles of Google Gemini AI.
• Link diverse data sources to Gemini AI.
• Investigate data using natural language queries.
• Analyze data patterns and extract meaningful insights.
• Produce engaging data visualizations.
• Effectively convey data-driven insights.

This instructor-led live training in Transylvania (online or on-site) is targeted at data analysts and anyone interested in learning how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis.

By the end of this training, participants will be able to:

• Conduct data analysis using Python, R, and SQL.
• Generate insights through data visualization with Tableau.
• Support business operations with data-driven decision-making.

This instructor-led, live training in Transylvania (online or on-site) is designed for IT support staff at the beginner level who wish to deliver robust support for ArcGIS Enterprise, effectively addressing any anomalies or system failures.

Upon completion of this training, participants will be able to:

• Comprehend the architecture and core components of ArcGIS Enterprise.
• Acquire the skills to install, configure, and manage ArcGIS Enterprise.
• Develop proficiency in troubleshooting and resolving common operational issues.
• Build expertise in monitoring and maintaining ArcGIS Enterprise environments.
• Master techniques for backup, recovery, and performance optimization.

This instructor-led live training in Transylvania (online or onsite) is designed for beginner-level IT professionals and DevOps practitioners eager to learn the fundamentals of Grafana and Prometheus.

By the end of this training, participants will be able to:

• Understand the core purpose and key features of Grafana and Prometheus.
• Install and configure Grafana and Prometheus on a Linux system.
• Set up essential data sources and dashboards in Grafana.
• Monitor system metrics and visualize data using Prometheus.

This instructor-led, live training in Transylvania (online or onsite) is targeted at intermediate-level data engineers who aim to master the use of Azure Synapse Analytics for a broad spectrum of data processing, analytics, and visualization tasks.

By the end of this training, participants will be able to:

• Comprehend the core concepts, architecture, and components of Azure Synapse Analytics.
• Create, configure, and manage scalable data warehouses using Azure Synapse.
• Master techniques for ingesting, transforming, and loading data (ETL) from diverse sources into Azure Synapse.
• Optimize query performance, secure data, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.

This instructor-led live training, accessible via Transylvania (online or onsite), targets beginner-level professionals seeking to learn the essential concepts and tools of ArcGIS.

By the conclusion of this training, participants will be able to:

• Understand the basic concepts of GIS and spatial data.
• Navigate the ArcGIS interface.
• Create and manage spatial data.
• Perform basic spatial analysis.
• Create maps and visualizations.

This instructor-led live training in Transylvania (online or on-site) is targeted at beginner-level earth sciences and engineering professionals who wish to utilize Python for geospatial analysis in both ArcGIS and QGIS environments.

By the end of this training, participants will be able to:

• Learn Python syntax and control structures for executing geospatial tasks efficiently.
• Use Pandas, Numpy, and Matplotlib for data analysis and visualization in GIS.
• Manipulate and analyze vector data with Geopandas, Arcpy, and PyQGIS libraries.
• Automate geospatial processes and workflows using Python scripting in ArcGIS and QGIS.
• Develop custom Python-based geoprocessing tools for ArcGIS and QGIS to streamline tasks.

Big Data and Advanced Analytics involves applying sophisticated techniques and tools to analyze large, complex datasets, yielding actionable insights for strategic decision-making.

This instructor-led training, available both online and onsite, is designed for advanced-level data professionals looking to leverage cutting-edge analytical methods and big data technologies for predictive, prescriptive, and real-time analytics.

Upon completing this training, participants will be equipped to:

• Design and implement large-scale data processing pipelines for both structured and unstructured data.
• Apply advanced machine learning and deep learning techniques to massive datasets.
• Utilize distributed computing frameworks for real-time analytics and data streaming.
• Integrate big data analytics into business intelligence and decision-making systems.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation in a live-lab environment.

Customization Options

• To request a customized training for this course, please contact us to arrange it.

The aim of the course in Transylvania is to help delegates to give evidence-based answers to questions:

What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

• turning data into evidence-based business decisions
• optimizing processes

This instructor-led, live training in Transylvania (online or onsite) is tailored for intermediate-level geographers aiming to deepen their expertise in spatial analysis, data management, and GIS applications.

By the end of this training, participants will be able to:

• Apply advanced spatial analysis techniques to solve complex geographical problems.
• Manage large spatial databases and perform data quality control.
• Create dynamic and interactive maps and visualizations for various applications.
• Utilize programming and automation to streamline GIS workflows.

This instructor-led live training in Transylvania (online or onsite) is designed for intermediate-level data analysts who wish to learn and apply the advanced features and components of Grafana for data visualization and analysis.

By the end of this training, participants will be able to:

• Gain an in-depth understanding of advanced Grafana concepts and components.
• Leverage template variables and dynamic dashboards for enhanced data visualization.
• Use Grafana Query Language for complex queries.
• Learn best practices for scaling Grafana, optimizing performance, and ensuring high availability.

Insurance in the Digital Era provides a practical perspective on how digital transformation is redefining products, operational processes, and customer interactions within the insurance sector.

This instructor-led live training, available both online and onsite, is designed for intermediate-level insurance professionals seeking to understand and implement digital technologies, data-driven strategies, and innovation frameworks to modernize insurance offerings and operations.

Upon completion of this training, participants will be able to:

• Describe the impact of AI, Big Data, IoT, and automation on contemporary insurance workflows.
• Recognize key InsurTech trends and their influence on the insurance ecosystem.
• Develop customer-centric strategies leveraging digital tools and data insights.
• Implement data-driven methodologies for risk management and decision-making.
• Formulate innovation and change management approaches tailored for insurance companies.
• Analyze real-world case studies and adapt lessons learned to local initiatives.

Course Format

• Interactive lectures and discussions.
• Case study analysis and collaborative group workshops.
• Practical exercises and action planning tailored to participants' organizations.

Course Customization Options

• To arrange customized training for this course, please contact us.

Requirements Engineering (RE) serves as a pivotal discipline in software and systems development, dedicated to identifying, documenting, and managing stakeholder needs and constraints to guarantee project success.

This instructor-led, live training (available online or onsite) targets intermediate-level professionals eager to deepen their grasp of practical Requirements Engineering while preparing for the IREB CPRE – Foundation Level certification exam.

Upon completing this training, participants will be able to:

• Grasp and apply the core concepts and terminology outlined in the IREB CPRE Foundation syllabus.
• Identify and elicit requirements using effective, context-appropriate techniques.
• Model, document, and validate requirements for real-world projects.
• Manage requirements changes, traceability, and prioritization throughout the project lifecycle.
• Utilize Requirements Engineering tools and best practices to enhance communication and project outcomes.
• Be fully prepared to take and pass the IREB CPRE – Foundation Level certification exam.

Format of the Course

• Interactive lecture and discussion.
• Case-based exercises and collaborative workshops.
• Exam preparation sessions and practice questions.

Course Customization Options

• Additional modules or industry-specific case studies can be added on request.

R is a widely utilized, open-source environment designed for statistical computing, data analytics, and data visualization. This course provides an introduction to the R programming language for students, covering foundational language concepts, essential libraries, and advanced techniques, including the application of sophisticated data analytics and graphing methods on real-world datasets.

Audience

Developers / data analysts

Duration

3 days

Format

Lectures and Hands-on

Data analytics is a crucial tool in business today. We will focus throughout on developing skills for practical hands on data analysis. The aim is to help delegates to give evidence-based answers to questions: 

What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

• turning data into evidence-based business decisions
• optimizing processes

This instructor-led, live training in Transylvania (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.

By the end of this training, participants will be able to:

• Set up a development environment that includes Python, Pandas, and NumPy.
• Create a data analysis application using Pandas and NumPy.
• Perform advanced data wrangling, sorting, and filtering operations.
• Conduct aggregate operations and analyze time series data.
• Visualize data using Matplotlib and other visualization libraries.
• Debug and optimize their data analysis code.

This instructor-led, live training in Transylvania (online or onsite) is aimed at developers and administrators who wish to use OpenSearch to perform distributed search and data analytics in a unified and secure system.

By the end of this training, participants will be able to:

• Set up the necessary development environment to start building search and analytics solutions with OpenSearch and OpenSearch Dashboards.
• Understand the three approaches (snapshot, restart, and rolling) in upgrading from Elasticsearch OSS to OpenSearch.
• Learn how to index data, create data streams, run queries, and streamline cross-cluster operations in OpenSearch.
• Explore and use plugins, APIs, clients, and ingestion tools (Beats, Logstash, Grafana, etc.) to optimize search experience while keeping clusters secure.
• Use OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance.

This instructor-led, live training in Transylvania (online or onsite) is aimed at persons who wish to learn just enough Python to begin crunching numbers from sales data, traffic analytics, customer interactions, etc..

By the end of this training, participants will be able to:

• Install and configure the necessary software, libraries and development environment to begin writing Python code for data analysis.
• Analyze data from sources such as Excel, CSV, JSON files and databases.
• Clean data to improve its usefulness before analyzing it.
• Perform simple statistical analysis.
• Generate reports that present the desired data in just the right format, from straight numbers to data visualizations.
• Gain valuable insight from data, including trends in performance, problematic areas.

This course is designed to provide a comprehensive understanding of SQL usage across various database platforms (such as Oracle, SQL Server, and MS Access). By mastering analytic functions and techniques for joining tables, participants will be equipped to perform data analysis directly within the database rather than relying on MS Excel. Additionally, this knowledge supports the development of any IT system that utilizes a relational database.

This instructor-led, live training in Transylvania (online or onsite) is designed for business analysts who wish to learn advanced Spotfire Analyst techniques for data analysis.

By the end of this training, participants will be able to:

• Share visualizations among different team members.
• Secure access to software based on roles and access controls.
• Create visualizations such as map charts.
• Integrate statistical computing languages such as R with Spotfire.

This instructor-led, live training in Transylvania (online or onsite) is aimed at field ecologists and conservation managers who wish to create data spatial projects in ArcGIS.

By the end of this training, participants will be able to:

• Output spatial data as visualizations.
• Conduct geostatics on actual data.
• Implement spatial data analysis, data processing, and mapping with ArcGIS.
• Analyze spatial data for projects in ArcGIS.

This course emphasizes the utilization of data analytic techniques and methodologies to address business challenges using R, Python, and SQL. It underscores the integration of business requirements with data analytics, treating the latter as a toolkit for tackling business queries and issues.

Data Analysis for Business Professionals is a practical, hands-on training program designed to empower participants to confidently handle business data, uncover meaningful insights, and facilitate superior decision-making. This instructor-led, live session (available online or onsite) targets beginner-to-intermediate-level business professionals eager to leverage modern analytical techniques and tools to interpret data, spot trends, and communicate findings effectively.

This instructor-led, live training in Transylvania (online or onsite) targets data scientists, data analysts, and business analysts who want to clean and process data effectively.

By the end of this training, participants will be able to:

• Develop an effective data cleaning strategy.
• Implement useful tools for data cleaning.
• Get a result more efficiently.
• Learn and apply data cleaning best practices.

In the dynamic energy industry, combining electrical transient analysis with accurate geographic information has become a strategic imperative. Relying on disjointed data currently creates substantial operational risks. To address this, this intensive 14-day course in Melbourne aims to connect electrical engineering principles with geospatial management practices.

This instructor-led live training, available in Transylvania (either onsite or remotely), is designed for data analysts looking to leverage Grafana for monitoring and visualizing data.

By the end of this training, participants will be able to:

• Set up the necessary development environment to start creating visualizations in Grafana.
• Set up Grafana for high availability.
• Customize panels and dashboards with data.
• Configure a reverse proxy for fast loading speeds.

KNIME Analytics Platform stands as a premier open-source solution for driving data-led innovation, enabling you to uncover hidden potential within your data, extract new insights, or forecast future trends. Boasting over 1000 modules, numerous ready-to-execute examples, a broad spectrum of integrated tools, and an extensive selection of advanced algorithms, KNIME Analytics Platform serves as the ideal toolkit for both data scientists and business analysts.

This course on KNIME Analytics Platform offers an excellent opportunity for beginners, advanced users, and KNIME experts to become familiar with the platform, learn to utilize it more efficiently, and master the creation of clear, comprehensive reports based on KNIME workflows.

This instructor-led, live training (available online or onsite) is designed for data professionals seeking to leverage KNIME to address complex business challenges.

The training targets individuals with no programming background who wish to utilize state-of-the-art tools to implement analytics scenarios.

Upon completion of this training, participants will be capable of:

• Installing and configuring KNIME.
• Developing Data Science scenarios
• Training, testing, and validating models
• Implementing the end-to-end value chain for data science models

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Practical implementation in a live laboratory environment.

Course Customization Options

• To request customized training for this course or to obtain more information about this program, please contact us to arrange details.

The "KNIME Analytics Platform" training offers a comprehensive overview of this free data analysis platform. The curriculum includes an introduction to data processing and analysis, installation and configuration of KNIME, building workflows, methodology for creating business models and data modeling. The course also covers advanced data analysis tools, workflow import and export, tool integration, ETL processes, data exploration, visualization, extensions, and integrations with tools such as R, Java, Python, Gephi, and Neo4j. The conclusion includes a discussion on reporting, integration with BIRT, and KNIME WebPortal.

This instructor-led, live training in Transylvania (online or onsite) is designed for data scientists looking to program with Python and R in KNIME.

By the end of this training, participants will be able to:

• Plan, build, and deploy machine learning models in KNIME.
• Make data-driven decisions for operations.
• Implement end-to-end data science projects.

As your participants prepare for advanced Data Analytics degrees overseas, they face a dual challenge: mastering technical coding and understanding how to translate data into business value. This intensive 5.5-hour program is designed to bridge both gaps simultaneously. By combining Python technical foundations with an introductory business analytics framework, we ensure your team starts their academic journey as leaders, not just learners.

A Geographic Information System (GIS) is a framework designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is also occasionally used to denote Geographic Information Science (GIScience), which refers to the academic discipline studying these systems and represents a significant domain within the broader field of geoinformatics.

QGIS operates as GIS software, enabling users to analyze and edit spatial information, as well as create and export graphical maps. It supports both raster and vector layers; vector data is stored in the form of points, lines, or polygons. The software accommodates various raster image formats and allows for image georeferencing. In summary, it empowers users to create, edit, visualize, analyze, and publish geospatial data on Windows, Mac, Linux, and BSD platforms.

In its first phase, this program introduces the QGIS interface for general use. In the second phase, we cover PyQGIS—the Python libraries of QGIS that enable the integration of GIS functionalities into your Python code or applications, allowing you to develop custom Python plugins tailored to specific GIS capabilities.

This instructor-led, live training in Transylvania (online or onsite) is designed for individuals seeking to understand requirements analysis and perform it efficiently and accurately using analytical techniques for their projects.

Upon completion of this training, participants will be able to:

• recognize various types of requirements.
• comprehend the core concepts and activities associated with requirements analysis.
• gain familiarity with requirements analysis methodologies.
• leverage diverse requirements analysis techniques to enhance project outcomes.
• organize requirements effectively to facilitate efficient communication with architects and developers via an iterative gathering process.

This live, instructor-led training in Transylvania (online or onsite) is designed for business and data analysts who wish to utilize the artificial intelligence capabilities of TIBCO Spotfire X to visualize, transform, and analyze data.

By the end of this training, participants will be able to:

• Install and configure TIBCO Spotfire X.
• Understand the features and architecture of TIBCO Spotfire X.
• Understand the concepts behind augmented and predictive analytics.
• Learn how to load, process, and visualize data using Spotfire X.
• Create interactive and enhanced data visualizations.

This instructor-led, live training in Transylvania (online or onsite) is aimed at business professionals who wish to use data storytelling, PowerPoint, and AI tools to create executive presentations that support decision-making and follow corporate branding standards.

By the end of this training, participants will be able to: structure messages with AI, improve slide design, strengthen visual stories, and deliver clearer executive presentations.